Buyer-question scans
Runs buyer-style questions—such as comparisons, alternatives, use cases, and price-oriented queries—through ChatGPT, Claude, Gemini, and Perplexity.
CiteGraph
CiteGraph tracks how products appear in AI-generated answers and which pages AI assistants cite. It helps founders, marketers, and SEO teams find missed buyer questions, understand competitor visibility, and create source-traced fixes.
AI answer visibility and citation tracking
CiteGraph is an AI search visibility and citation tracking tool for founders, marketers, and SEO teams. It asks buyer-style questions about a product or category, sends them to ChatGPT, Claude, Gemini, and Perplexity, and records the resulting answers and cited pages.
The product is designed to show where a product is omitted from AI-generated recommendations, which competitors or sources appear instead, and what claim or page could address the gap. It combines one-off scans with optional weekly tracking, giving teams a way to inspect individual answers as well as changes in share of voice over time.
Core features
Answer and blind-spot reports
Shows the verbatim responses, competitors named instead, cited pages, and the questions where your product was not mentioned.
Cited-source mapping
Maps the sources used by AI engines and grades whether each page substantively describes your product, merely mentions it, or is cited for unrelated content.
AI-drafted fixes
Produces a specific missing claim, suggested placement, and a draft artifact based on the lost answer and the product’s own site, with sentences traced to sources.
Tracking and change evidence
Re-scans projects weekly, reports share of voice and per-engine history, and prints margins or error bars to help distinguish movement from measurement noise.
Assistant and publishing workflows
Includes an in-app Ask assistant plus MCP server, API keys, and a Claude.ai connector; supported plans can also provide fact sheets, CSV export, public dossier links, and white-label reporting.
Practical use cases
Founders checking category visibility
Run the questions prospects use when comparing products or looking for alternatives, then inspect the exact response in which a rival is recommended instead.
Marketers prioritizing content work
Use blind-spot findings to identify missing claims and the third-party pages or owned pages that could carry them, turning an AI answer gap into a content brief.
SEO teams measuring competitive shifts
Track selected rivals across repeated scans and engines, using share-of-voice history and reported margins to evaluate whether changes correspond with meaningful movement.
Writers preparing evidence-based drafts
Use fact sheets and AI-drafted artifacts where included by the plan to turn cited-source findings into source-traced material for pages or editorial workflows.
Teams acting through coding agents
Connect an MCP-capable coding agent such as Claude, Cursor, or VS Code to read scan blind spots and apply readiness fixes in a repository when that workflow fits the team’s process.
Pros and Cons
Pros
- Shows verbatim AI answers and cited sources instead of only presenting a single visibility score.
- Identifies competitors named instead of the tracked product and links gaps to specific source pages or claims.
- Supports repeated runs across four major AI assistants, with margins or error bars on reported measurements.
- Provides actionable drafts and page-writing outputs derived from the answers lost and the product’s source material.
- Offers both an in-app assistant and coding-agent access through MCP, alongside API keys and a Claude.ai connector.
Cons
- The scan evaluates the configured buyer questions and engine runs; it is not presented as a general-purpose SEO crawler or a guarantee of future AI recommendations.
- Live scans use paid AI-engine calls, so ongoing tracking is subscription-based or requires per-scan payment.
- The number of projects, rivals, seats, drafts, exports, and reporting options varies by plan.
FAQ
What does CiteGraph do?
CiteGraph runs buyer-style questions through ChatGPT, Claude, Gemini, and Perplexity, then reports the answers, cited pages, and questions where your product was omitted. It also provides suggested fixes for those gaps.
What counts as a project, and can teams use CiteGraph?
A project tracks one domain. Starter includes two projects, Growth includes three, and Scale includes six. The product supports multiple seats depending on the plan: one on Starter, five on Growth, and unlimited on Scale.
How does the trial work?
Yes. CiteGraph offers a 7-day trial that requires a card but charges nothing initially. The trial includes two scans and three drafts. Cancel from the Billing page before day 7 to avoid a charge.
Can I pay for scans without subscribing?
Yes. The first purchase provides two complete scans for $12. After that, scans cost $12 each without requiring a subscription. Subscription plans are needed for scheduled weekly tracking, trends, and change alerts.
What integrations and agent workflows does CiteGraph support?
CiteGraph provides an in-app Ask assistant and supports an MCP server, API keys, and a Claude.ai connector. Its MCP workflow is intended to let Claude, Cursor, or VS Code read scan findings and apply readiness fixes in a repository.
Quick Facts
- Category
- AI search visibility and citation tracking
- Primary users
- Founders, marketers, and SEO teams
- AI engines
- ChatGPT, Claude, Gemini, and Perplexity
- Scan cadence
- Weekly on subscription plans; one-off scans also available
- Agent workflow
- In-app Ask assistant, MCP server, API keys, and Claude.ai connector
- Source domain
- citegraph.app
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